Member of Technical Staff - Platform Engineering

Навыки

• AWS
• CI/CD
• Dagster / Prefect / Luigi
• GitHub
• GMV / MRR
• Kubernetes
• PostgreSQL

О компании и продукте

• AI needs a new infrastructure layer. We're building it at Modal.
• Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
• Our customers include category-defining companies like Lovable https://modal.com/blog/lovable-case-study, Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
• We recently raised a $355M Series C https://modal.com/blog/modal-series-c at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September.

Требования

• 5+ years of experience writing high-quality production code
• 2+ years of on-call experience for critical production services
• Strong cloud skills, and deep familiarity with at least one hyperscaler cloud (AWS preferred)
• Familiarity with auto scaling, fleet management, and capacity planning at scale
• Experience operating databases, monitoring, CI/CD, and other infrastructure, at scale
• Experience owning and scaling Kubernetes clusters to thousands of nodes a plus
• Experience with systems safety research (e.g. STAMP) and control theory a plus
• Ability to work in-person in our NYC or Stockholm offices

Паспорт вакансии

История публикации

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